[FAQ Bot] NEW: How many feature maps are produced by a PyTorch Conv2D layer, and how do #46
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
3 tasks
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
✨ FAQ NEW
Course: machine-learning-zoomcamp
Section: module-8 (Covers CNN layer shapes and calculations; fits Module 8 Neural Networks and Deep Learning.)
Related Issue: #45
Question
How many feature maps are produced by a PyTorch Conv2D layer, and how do you compute the spatial output size?
Decision Rationale
No existing FAQ covers PyTorch Conv2D output shapes or how to compute H_out/W_out; this is a common CNN topic and fits Module 8.
Placement Details
module-8conv2d-output-size-pytorch🤖 Generated by FAQ Bot
Closes #45